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DP-600 FAQs
With the DP-600 certification, you can pursue roles such as Fabric Analytics Engineer, Data Engineer, Data Analyst, and Solution Architect. These roles involve designing, implementing, and managing data analytics solutions using Microsoft Fabric.
The salary for DP-600 certified professionals varies based on experience and location. On average, salaries range from $90,000 to $130,000 per year, with higher figures possible for those with extensive experience and additional certifications.
Key benefits include validation of your expertise in Microsoft Fabric analytics, enhanced job prospects, potential for higher salaries, and recognition from employers and peers. The certification demonstrates your ability to implement and manage advanced data analytics solutions?.
The DP-600 exam tests skills in designing and implementing analytics solutions using Microsoft Fabric, including data lakes, pipelines, and Power BI integration. It’s designed for data engineers and analysts working with unified analytics platforms.
Practice building data pipelines in Microsoft Fabric using a trial tenant, focusing on data ingestion and transformation. Study Microsoft Learn’s DP-600 learning path and use practice exam to simulate pipeline scenarios.
While PL-300 focuses on Power BI for data visualization, DP-600 emphasizes end-to-end analytics workflows in Microsoft Fabric, including data engineering tasks like lakehouse management and real-time analytics, requiring broader technical expertise.
To succeed on the DP-600 exam, you need strong hands-on skills with Microsoft Fabric. This includes understanding OneLake as unified storage, building Lakehouses, and performing data engineering tasks like Spark jobs, SQL transformations, and Data Factory pipelines. You must also be able to create and manage Power BI semantic models and effectively administer Fabric security and capacity.
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Implementing Analytics Solutions Using Microsoft Fabric Questions and Answers
You have a Fabric tenant that contains a semantic model. The model contains data about retail stores.
You need to write a DAX query that will be executed by using the XMLA endpoint. The query must return the total amount of sales from the same period last year.
How should you complete the DAX expression? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

You have a Fabric tenant that contains a lakehouse named Lakehouse! Lakehouse1 contains a Delta table that has one million Parquet files.
You need to remove files that were NOT referenced by the table during the past 30 days. The solution must ensure that the transaction log remains consistent, and the ACID properties of the table are maintained
What should you do?
You have a Fabric tenant that contains lakehouse named Lakehousel. Lakehousel contains a Delta table with eight columns. You receive new data that contains the same eight columns and two additional columns.
You create a Spark DataFrame and assign the DataFrame to a variable named df. The DataFrame contains the new data. You need to add the new data to the Delta table to meet the following requirements:
• Keep all the existing rows.
• Ensure that all the new data is added to the table.
How should you complete the code? To answer, select the appropriate options in the answer area.

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